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AI3SD Video: H2020 Project Onto Trans

AI3SD Video: H2020 Project Onto Trans
AI3SD Video: H2020 Project Onto Trans
The OntoTrans project responds to the need of industry to respond to manufacturing challenges more efficiently by accessing the relevant information and utilising materials modelling more effectively. In particular, there is a need to strengthen the use of translation as a router supporting end users to get to relevant data and models. OntoTrans will provide a general-purpose ontology-based Open Translation Environment (OTE) and End User Apps for four innovation challenges, delivering smart guidance for materials producers and product manufacturers through all the steps of the translation process.
AI, AI3SD Event, Chemistry, Data Science, Datasets, Ontologies, OWL, RDF, Research Data Management, Semantic Web, Semantics, SPARQL
Simperler, Alexandra
fb604aab-9bc7-43d1-8753-d8aad84479cf
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Niranjan, Mahesan
5cbaeea8-7288-4b55-a89c-c43d212ddd4f
Hooper, Victoria
af1a99f1-7848-4d5c-a4b5-615888838d84
Simperler, Alexandra
fb604aab-9bc7-43d1-8753-d8aad84479cf
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Niranjan, Mahesan
5cbaeea8-7288-4b55-a89c-c43d212ddd4f
Hooper, Victoria
af1a99f1-7848-4d5c-a4b5-615888838d84

Simperler, Alexandra (2021) AI3SD Video: H2020 Project Onto Trans. Kanza, Samantha, Frey, Jeremy G., Niranjan, Mahesan and Hooper, Victoria (eds.) AI3SD Winter Seminar Series, , Online. 18 Nov 2020 - 21 Apr 2021 . (doi:10.5258/SOTON/P0076).

Record type: Conference or Workshop Item (Other)

Abstract

The OntoTrans project responds to the need of industry to respond to manufacturing challenges more efficiently by accessing the relevant information and utilising materials modelling more effectively. In particular, there is a need to strengthen the use of translation as a router supporting end users to get to relevant data and models. OntoTrans will provide a general-purpose ontology-based Open Translation Environment (OTE) and End User Apps for four innovation challenges, delivering smart guidance for materials producers and product manufacturers through all the steps of the translation process.

Video
AI3SD-Winter-Seminar-Series-SW-AlexSimperler - Version of Record
Available under License Creative Commons Attribution.
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More information

Published date: 10 February 2021
Additional Information: Dr Alexandra Simperler received her PhD in Chemistry from University of Vienna in 1999. She heldresearch associate positions using electronic and atomistic models at the Royal Institution of Great Britain and University of Cambridge.  She spent five years in application software training at Accelrys/Biovia inCambridge, UK.  She then joined the NSCCS (http://www.nsccs.ac.uk/about.php) at Imperial College London and enabled UK based academics to become proficient in using electronic and atomistic modelling.  She has co-authored 40 scientific papers, case studies and reports.  In 2017, she formed Simperler Consulting and provides various services around Materials Modelling together with Goldbeck Consulting.
Venue - Dates: AI3SD Winter Seminar Series, , Online, 2020-11-18 - 2021-04-21
Keywords: AI, AI3SD Event, Chemistry, Data Science, Datasets, Ontologies, OWL, RDF, Research Data Management, Semantic Web, Semantics, SPARQL

Identifiers

Local EPrints ID: 448774
URI: http://eprints.soton.ac.uk/id/eprint/448774
PURE UUID: e379d68d-3133-4552-b4df-82f50875943c
ORCID for Samantha Kanza: ORCID iD orcid.org/0000-0002-4831-9489
ORCID for Jeremy G. Frey: ORCID iD orcid.org/0000-0003-0842-4302

Catalogue record

Date deposited: 05 May 2021 16:34
Last modified: 06 May 2021 01:59

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Contributors

Author: Alexandra Simperler
Editor: Samantha Kanza ORCID iD
Editor: Jeremy G. Frey ORCID iD
Editor: Mahesan Niranjan
Editor: Victoria Hooper

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